Edtech.com's Summary

California State University, Northridge (CSUN) is hiring a Senior Data Analytics Solutions Architect. The role entails architecting, building, and supporting enterprise data and analytics solutions to meet complex academic and administrative needs, designing data platforms and integrations, and providing technical leadership across analytics and automation initiatives while ensuring compliance with data governance and security standards.

Highlights

Architect enterprise data and analytics solutions that fulfill complex academic and administrative requirements.
Design scalable data architectures, ETL pipelines, APIs, and system integrations, including platforms like ServiceNow.
Develop dashboards and reporting tools using Tableau, Power BI, and Amazon QuickSight for actionable and accurate insights.
Implement data quality checks, monitoring, validation processes, and troubleshoot complex integration issues.
Advise leadership on emerging technologies and architectural strategies to support data analytics initiatives.
Required skills include expertise in data modeling, business process design, cloud-based data architectures, and advanced analytics techniques including predictive modeling and machine learning.
Programming proficiency in languages such as C#, Python/PySpark, Java, and SQL is preferred.
Qualifications include a bachelor's degree in a related field with five years of experience or equivalent, with advanced degrees substitutable for experience.
Compensation ranges from $8,231 to $11,077 per month, with a full benefits package including medical, dental, vision, retirement, and tuition waiver.
The position is full-time, involves hybrid work arrangements, and includes a one-year probationary period.

Senior Data Analytics Solutions Architect Full Description

CSUN strives to be a destination workplace, where everyone understands that they belong to a community that is vital in advancing student success and providing exemplary service to all stakeholders. We foster an environment of success, both for our students and our employees. We have a relentless passion for celebrating diversity, equity, and inclusion as well as being an employer of choice. You will also have the opportunity to realize your own personal goals and be recognized for the work you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun.

A senior technical contributor responsible for architecting, building, and supporting enterprise data and analytics solutions that translate complex academic and administrative needs into production ready, data driven outcomes. This hands on role designs and implements data platforms, integrations, pipelines, and automation; produces reusable technical assets; and provides technical leadership across analytics, reporting, and workflow automation initiatives. Operating with a high degree of professional independence, the role ensures solutions align with enterprise architecture standards and meet institutional requirements for data governance, security, privacy, accessibility, and quality.

Major Duties

Under general supervision, the Senior Data Analytics Solutions Architect provides advanced technical expertise across data architecture, analytics, and automation. This role partners with campus stakeholders to translate complex business needs into scalable, secure, and governed data solutions, independently designing and delivering integrations, analytics, and reporting capabilities aligned with enterprise standards.

Key Responsibilities

Data Architecture and Solution Design

Translate business requirements into technical specifications, data models, process maps, and documented end‑to‑end data solutions
Design scalable data architectures that support analytics, reporting, and automation use cases across campus systems

Data Integration and Engineering

Design and implement ETL pipelines, APIs, and data integrations across institutional platforms, including ServiceNow
Ensure solutions align with data governance, security, and enterprise integration standards

Analytics and Reporting

Develop and maintain complex dashboards, visualizations, and reporting solutions using institutionally selected platforms such as Tableau, Power BI, and Amazon QuickSight
Partner with functional teams to ensure analytics solutions are actionable, accurate, and aligned with decision‑making needs

Data Quality and Operational Excellence

Implement data quality checks, monitoring, and validation processes to ensure accuracy, completeness, and consistency across datasets
Troubleshoot and resolve complex data and integration issues across systems

Innovation and Technical Advisory

Evaluate and pilot emerging technologies and analytics approaches
Provide technical recommendations and architectural guidance to department leadership to inform future investments and strategy
Perform other duties as assigned

*NOTE: To view the full position description, including all of the required qualifications, copy and paste this link into your browser: https://mycsun.box.com/s/97zib9u6ny7c5hrv8dxxv6b8nfkp5i5x

Qualifications

Equivalent to a bachelor’s degree in a related field and five years of relevant experience.
Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown below, may be substituted for the required education on a year-for-year basis.
An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.

Preferred Qualifications:

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Data Science.
Hands-on & progressively responsible experience in data architecture, data engineering , and analytics.
Skilled programmer, experienced in modern programming and query languages (e.g., C#, Python/PySpark, Java, SQL) to support development, data transformation, analytics, automation and system integration is a plus.
Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.
Demonstrated experience designing and implementing ETL/ELT pipelines using modern SAAS or cloud Integration platforms (e.g., Boomi, Talend, AWS Glue, Azure Data Factory etc.,) .

Knowledge, Skills, & Abilities

Demonstrated experience in business process design and optimization, in data-intensive environments.
Proven ability to translate business and analytical requirements into technical specifications, data models, integration logic, and analytics-ready data solutions.
Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques.
Expert in leading and executing complex, high-impact data analytics projects and initiatives.
Demonstrated ability to analyze unique problems without precedent and develop innovative approaches, methods, or techniques.
Experience serving as a consultative expert for cross-functional teams on data analytics strategy and delivery.
Solid working knowledge of data warehousing and data lake architecture and concepts.
Strong understanding of data governance principles, including data quality, security, privacy, access controls, and metadata management.
Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture, or similar patterns).
Experience supporting analytics and reporting platforms (e.g., Tableau, Power BI, or similar), with an understanding of how data design impacts dashboard performance and usability.
Excellent written and verbal communication skills, including the ability to lead discovery sessions, deliver presentations, provide solution walkthroughs, and support training for non-technical audiences.
Independent, highly self-motivated team player with a positive, collaborative approach and the ability to work independently while contributing as a senior technical resource on larger initiatives.
Demonstrated analytical, problem-solving, and organizational skills, with the ability to manage multiple priorities in a project-based environment.
Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.

Pay, Benefits, & Work Schedule

The university offers an excellent benefits package, including but not limited to: medical, dental, vision, retirement & savings, tuition waiver and more.
Classification: 0406 / Data Analytics Developer IV / Grade 1
The anticipated HIRING RANGE: $8,231 mo - $11,077 per month, dependent upon qualifications and experience. The salary range for this classification is: $8,231 mo - $11,990 per month.
HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends.
This is a Regular position with a one-year probationary period.
The position is currently hybrid (2 days in office, 3 days remote); however, this is subject to change based on student and/or operational needs.

General Information

Applications received through April 1, 2026, will be considered in the initial review and review of applications will continue until the position is filled.
This position is sensitive as designated by the CSU.
A background check (including a criminal records check) must be completed satisfactorily. Failure to satisfactorily complete the background check may affect the application status of applicants or the continued employment of current CSU employees who apply for the position.
The person holding this position may be considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements outlined in CSU Executive Order 1083 as a condition of employment.
Per the California State University (CSU) Out-of-State Employment Policy, the CSU is a state entity whose business operations reside within the State of California and prohibits hiring employees to perform CSU-related work outside of California.
Please note: California State University, Northridge (CSUN) is not currently sponsoring staff or management positions for H-1B employment visas. Applicants must be authorized to work for any employer in the United States.
Candidates should apply by completing the CSUN online application. To apply and for more detailed information on the application and hiring process, please visit this link: www.csun.edu/careers
The CSU recommends that faculty, staff, and students who are accessing campus facilities at any university location be immunized against SARS-CoV-2, the virus that causes COVID-19, and that all individuals who access any in-person program or activity (on- or off-campus) operated or controlled by the University follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications and comply with other safety measures established by each campus.

Equal Employment Opportunity

CSUN is an Equal Opportunity Employer and prohibits discrimination based on Age, Disability (physical or mental), Gender, Gender Identity (including Nonbinary or Transgender), Gender Expression, Genetic Information, Marital Status, Medical Condition, Nationality, Pregnancy or related conditions, Race or Ethnicity (including color, caste, or ancestry), Religion or Religious Creed, Sex (including Sex Stereotyping or Sex Characteristics), Sexual Orientation, and Veteran or Military Status. Our nondiscrimination policy is outlined in the Interim CSU Nondiscrimination Policy. Reasonable accommodations will be provided for applicants with disabilities who self-disclose by contacting Talent Acquisition at 818-677-2101.

Work with purpose at the CSU.
Your career can change lives, communities, and futures. Watch why CSU is more than a job: https://www.youtube.com/watch?v=2VXk4PPlSl4

Original Job Description

Major Duties

Key Responsibilities

Data Architecture and Solution Design

Translate business requirements into technical specifications, data models, process maps, and documented end‑to‑end data solutions
Design scalable data architectures that support analytics, reporting, and automation use cases across campus systems

Data Integration and Engineering

Design and implement ETL pipelines, APIs, and data integrations across institutional platforms, including ServiceNow
Ensure solutions align with data governance, security, and enterprise integration standards

Analytics and Reporting

Develop and maintain complex dashboards, visualizations, and reporting solutions using institutionally selected platforms such as Tableau, Power BI, and Amazon QuickSight
Partner with functional teams to ensure analytics solutions are actionable, accurate, and aligned with decision‑making needs

Data Quality and Operational Excellence

Implement data quality checks, monitoring, and validation processes to ensure accuracy, completeness, and consistency across datasets
Troubleshoot and resolve complex data and integration issues across systems

Innovation and Technical Advisory

Evaluate and pilot emerging technologies and analytics approaches
Provide technical recommendations and architectural guidance to department leadership to inform future investments and strategy
Perform other duties as assigned

*NOTE: To view the full position description, including all of the required qualifications, copy and paste this link into your browser: https://mycsun.box.com/s/97zib9u6ny7c5hrv8dxxv6b8nfkp5i5x

Qualifications

Equivalent to a bachelor’s degree in a related field and five years of relevant experience.
Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown below, may be substituted for the required education on a year-for-year basis.
An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.

Preferred Qualifications:

Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Data Science.
Hands-on & progressively responsible experience in data architecture, data engineering , and analytics.
Skilled programmer, experienced in modern programming and query languages (e.g., C#, Python/PySpark, Java, SQL) to support development, data transformation, analytics, automation and system integration is a plus.
Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.
Demonstrated experience designing and implementing ETL/ELT pipelines using modern SAAS or cloud Integration platforms (e.g., Boomi, Talend, AWS Glue, Azure Data Factory etc.,) .

Knowledge, Skills, & Abilities

Demonstrated experience in business process design and optimization, in data-intensive environments.
Proven ability to translate business and analytical requirements into technical specifications, data models, integration logic, and analytics-ready data solutions.
Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques.
Expert in leading and executing complex, high-impact data analytics projects and initiatives.
Demonstrated ability to analyze unique problems without precedent and develop innovative approaches, methods, or techniques.
Experience serving as a consultative expert for cross-functional teams on data analytics strategy and delivery.
Solid working knowledge of data warehousing and data lake architecture and concepts.
Strong understanding of data governance principles, including data quality, security, privacy, access controls, and metadata management.
Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture, or similar patterns).
Experience supporting analytics and reporting platforms (e.g., Tableau, Power BI, or similar), with an understanding of how data design impacts dashboard performance and usability.
Excellent written and verbal communication skills, including the ability to lead discovery sessions, deliver presentations, provide solution walkthroughs, and support training for non-technical audiences.
Independent, highly self-motivated team player with a positive, collaborative approach and the ability to work independently while contributing as a senior technical resource on larger initiatives.
Demonstrated analytical, problem-solving, and organizational skills, with the ability to manage multiple priorities in a project-based environment.
Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.

Pay, Benefits, & Work Schedule

The university offers an excellent benefits package, including but not limited to: medical, dental, vision, retirement & savings, tuition waiver and more.
Classification: 0406 / Data Analytics Developer IV / Grade 1
The anticipated HIRING RANGE: $8,231 mo - $11,077 per month, dependent upon qualifications and experience. The salary range for this classification is: $8,231 mo - $11,990 per month.
HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends.
This is a Regular position with a one-year probationary period.
The position is currently hybrid (2 days in office, 3 days remote); however, this is subject to change based on student and/or operational needs.

General Information

Applications received through April 1, 2026, will be considered in the initial review and review of applications will continue until the position is filled.
This position is sensitive as designated by the CSU.
A background check (including a criminal records check) must be completed satisfactorily. Failure to satisfactorily complete the background check may affect the application status of applicants or the continued employment of current CSU employees who apply for the position.
The person holding this position may be considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements outlined in CSU Executive Order 1083 as a condition of employment.
Per the California State University (CSU) Out-of-State Employment Policy, the CSU is a state entity whose business operations reside within the State of California and prohibits hiring employees to perform CSU-related work outside of California.
Please note: California State University, Northridge (CSUN) is not currently sponsoring staff or management positions for H-1B employment visas. Applicants must be authorized to work for any employer in the United States.
Candidates should apply by completing the CSUN online application. To apply and for more detailed information on the application and hiring process, please visit this link: www.csun.edu/careers
The CSU recommends that faculty, staff, and students who are accessing campus facilities at any university location be immunized against SARS-CoV-2, the virus that causes COVID-19, and that all individuals who access any in-person program or activity (on- or off-campus) operated or controlled by the University follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications and comply with other safety measures established by each campus.

Equal Employment Opportunity

Work with purpose at the CSU.
Your career can change lives, communities, and futures. Watch why CSU is more than a job: https://www.youtube.com/watch?v=2VXk4PPlSl4

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Senior Data Analytics Solutions Architect

Edtech.com's Summary

Senior Data Analytics Solutions Architect Full Description

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